Alternatives and similar repositories for GraphLog

Users that are interested in GraphLog are comparing it to the libraries listed below

• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 4 years ago
• willwhitney / reprieve
  A library for evaluating representations.
  ☆76Updated 3 years ago
• dennybritz / papergraph
  AI/ML citation graph with postgres + graphql
  ☆187Updated 4 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 4 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆178Updated 4 years ago
• alex-tifrea / poincare_glove
  Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper
  ☆88Updated 4 years ago
• srush / parallax
  ☆153Updated 5 years ago
• louislva / deepmind-perceiver
  My implementation of DeepMind's Perceiver
  ☆63Updated 4 years ago
• srush / awesome-ml-tracking
  ☆103Updated 4 years ago
• nalexai / hyperlib
  Library that contains implementations of machine learning components in the hyperbolic space
  ☆136Updated last year
• deep-spin / tutorial
  Web page for our tutorial on latent structure for NLP
  ☆47Updated 5 years ago
• uclnlp / gntp
  ☆58Updated 5 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• facebookresearch / randsent
  Exploring Random Encoders for Sentence Classification
  ☆183Updated 5 years ago
• david-abel / neurips_2019
  Notes from NeurIPS 2019
  ☆29Updated 5 years ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆136Updated 5 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆103Updated 4 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆127Updated 6 years ago
• ICLR / iclr.github.io
  ☆83Updated 5 years ago
• andrewk1 / pytorch-deep-bayesian-bandits
  PyTorch port and extension of the Deep Bayesian Bandits Library
  ☆42Updated 5 years ago
• andreeadeac22 / Mila-Graph-Reading-Group
  Weekly reading group on Graph Representation Learning at Mila
  ☆18Updated 5 years ago
• TimDettmers / transformer-xl
  ☆64Updated 5 years ago
• kousun12 / tf_hyperbolic
  Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow
  ☆55Updated 6 years ago
• hadarser / ProvablyPowerfulGraphNetworks
  ☆16Updated 5 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• dfdazac / mpqe
  "Answering queries over Knowledge Graphs with Graph Convolutional Networks" @ ICLR 2020 Workshop on Graph Representation Learning
  ☆15Updated 4 years ago
• tchaton / lightning-geometric
  Integrate pytorch
  ☆46Updated 4 years ago
• LeoYu / neural-tangent-kernel-UCI
  Testing Nerual Tangent Kernel (NTK) on small UCI datasets
  ☆81Updated 5 years ago